论文标题

基于3D点云模式分析的凯尔特硬币的自动聚类

Automatic clustering of Celtic coins based on 3D point cloud pattern analysis

论文作者

Horache, Sofiane, Deschaud, Jean-Emmanuel, Goulette, François, Gruel, Katherine, Lejars, Thierry

论文摘要

考古学研究感兴趣的硬币的识别和聚类。如今,这项工作只能由专家执行,而且非常乏味。在本文中,我们提出了一种基于硬币的3D扫描来自动群集死亡的方法。它基于三个步骤:注册,比较和基于图的聚类。来自公元前二世纪凯尔特人财政部的90个硬币的实验结果表明,质量与专家的工作相等。

The recognition and clustering of coins which have been struck by the same die is of interest for archeological studies. Nowadays, this work can only be performed by experts and is very tedious. In this paper, we propose a method to automatically cluster dies, based on 3D scans of coins. It is based on three steps: registration, comparison and graph-based clustering. Experimental results on 90 coins coming from a Celtic treasury from the II-Ith century BC show a clustering quality equivalent to expert's work.

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